J. R. Wolpaw, N. Birbaumer, D. J. Mcfarland, G. Pfurtscheller, and T. M. Vaughan, Brain???computer interfaces for communication and control, Clinical Neurophysiology, vol.113, issue.6, pp.767-791, 2002.
DOI : 10.1016/S1388-2457(02)00057-3

F. Lotte, M. Congedo, A. Lécuyer, F. Lamarche, and B. Arnaldi, A review of classification algorithms for EEG-based brain???computer interfaces, Journal of Neural Engineering, vol.4, issue.2, 2007.
DOI : 10.1088/1741-2560/4/2/R01
URL : https://hal.archives-ouvertes.fr/inria-00134950

D. J. Mcfarland, C. W. Anderson, K. Muller, A. Schlogl, and D. J. Krusienski, BCI Meeting 2005???Workshop on BCI Signal Processing: Feature Extraction and Translation, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.14, issue.2, pp.135-138, 2006.
DOI : 10.1109/TNSRE.2006.875637

L. Qin, L. Ding, and B. He, Motor imagery classification by means of source analysis for brain???computer interface applications, Journal of Neural Engineering, vol.1, issue.3, pp.135-141, 2004.
DOI : 10.1088/1741-2560/1/3/002

R. Grave-de-peralta-menendez, S. Gonzalez-andino, L. Perez, P. Ferrez, and J. Millán, Non-invasive estimation of local field potentials for neuroprosthesis control, Cognitive Processing, vol.90, issue.1, 2005.
DOI : 10.1007/s10339-004-0043-x

M. G. Wentrup, K. Gramann, E. Wascher, and M. Buss, EEG Source Localization for Brain-Computer-Interfaces, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005., pp.128-131, 2005.
DOI : 10.1109/CNE.2005.1419570

M. Congedo, F. Lotte, and A. Lécuyer, Classification of movement intention by spatially filtered electromagnetic inverse solutions, Physics in Medicine and Biology, vol.51, issue.8, pp.1971-1989, 2006.
DOI : 10.1088/0031-9155/51/8/002
URL : https://hal.archives-ouvertes.fr/inria-00134948

L. A. Zadeh, Fuzzy sets Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by, pp.19-34, 1996.
DOI : 10.1142/2895

A. P. Holmes, R. C. Blair, J. D. Watson, and I. Ford, Nonparametric analysis of statistic images from functional mapping experiments, Journal of Cerebral Blood Flow and Metabolism, vol.16, pp.7-22, 1996.

D. Comaniciu and P. Meer, Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, pp.603-619, 2002.
DOI : 10.1109/34.1000236

J. Jimenez-alaniz, M. Pohl-alfaro, V. Medina-banuelos, and O. Yanez-suarez, Segmenting Brain MRI using Adaptive Mean Shift, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3114-3117, 2006.
DOI : 10.1109/IEMBS.2006.260480

Y. Wang, Z. Zhang, Y. Li, X. Gao, S. Gao et al., BCI Competition 2003???Data Set IV: An Algorithm Based on CSSD and FDA for Classifying Single-Trial EEG, IEEE Transactions on Biomedical Engineering, vol.51, issue.6, pp.1081-1086, 2004.
DOI : 10.1109/TBME.2004.826697

B. Blankertz, G. Curio, and K. R. Müller, Classifying single trial eeg: Towards brain computer interfacing, Advances in Neural Information Processing Systems (NIPS 01), pp.157-164, 2002.

G. Pfurtscheller, Eeg event-related desynchronization (erd) and eventrelated synchronization (ers) Electroencephalography: Basic Principles , Clinical Applications and Related Fields, p.958967, 1999.